Top Analytics Jobs in Providence, RI

Lead enterprise data modernization by designing canonical and semantic data models, data contracts, and real-time streaming architectures (Kafka). Architect AWS and Snowflake-based pipelines, enforce governance and metadata/lineage standards, partner with product and engineering teams, and produce reusable modeling artifacts to enable analytics and AI/ML use cases.

Manage and implement Adobe/Ensighten tagging across web and mobile, validate and troubleshoot tracking, collaborate with stakeholders for reporting and tracking requirements, maintain documentation, and produce analytics reports and dashboards.

Lead development and implementation of data science and analytics solutions: apply data mining, statistical and predictive modeling, ML, ETL, and BI/dashboarding to large healthcare datasets; communicate insights to stakeholders; design experiments; mentor junior staff; set analytics strategy and priorities.

Lead statistical and predictive analytics projects to summarize data, identify financial risk, and recommend optimizations. Perform data pulls, build models, design experiments, develop ETL and reporting solutions (SAS/SQL/Access/Excel), collaborate cross-functionally, and present results to leadership to drive data-driven decisions and improve underwriting and client financial performance.

Design, test, and implement analytics and reporting solutions. Perform data preparation, predictive modeling, experiment design, and statistical analysis. Build SQL-based analyses, dashboards (PowerBI/Tableau), and advanced Excel reports. Communicate findings, recommend data/modeling approaches, and influence process and system improvements to enhance data quality and business outcomes.

Lead development and implementation of data science and analytics solutions: apply data mining, statistical and predictive modeling, visualization, and experimentation to inform business decisions, mentor junior staff, and communicate insights to stakeholders and leadership.

Lead end-to-end strategic projects to optimize health plan programs, perform data-driven analyses, build impact models, present executive recommendations, advise cross-functional stakeholders, mentor junior analysts, and monitor initiative outcomes to improve efficiency and care quality.

Lead analytics for Medicare Advantage value-based contracts, providing medical cost and outcomes research, financial modeling, performance monitoring, and strategic recommendations. Manage complex provider relationships, ensure contract compliance, drive provider performance, advise on negotiations and deal terms, and integrate reporting to meet financial, clinical, and efficiency targets.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Lead a team of data and infrastructure engineers to develop cloud-based data systems and solutions for analytics, ensuring best practices in data management and MLOps.

The Director, Advancement Reporting & Analytics oversees data architecture, governance, and analytics for Institutional Advancement, focusing on reporting solutions and predictive models to support fundraising and engagement efforts.

The Senior Director will establish and lead the Real-World Data & Analytics group, oversee RWD strategy, engage in complex analytics projects, and build a high-performing team in the oncology domain.

Senior individual contributor who builds centralized analytics (Power BI), delivers insights for underwriting and distribution, standardizes surety marketing content, drives operational efficiency and automation, and leads cross-functional strategic initiatives to improve decision-making and execution.

Lead media analytics for Marriott Media Network by designing measurement methodologies, running A/B tests and MMM, analyzing audience and campaign performance, translating data into executive-ready insights, and partnering cross-functionally to optimize monetization and media strategy.

Lead Tableau data visualization strategy: design and optimize high-performance dashboards, establish governance and best practices, mentor teams, enable adoption, and partner with data teams for robust models and performance.

Lead intake, grooming, and translation of reporting and analytics requests into actionable requirements. Drive stakeholder sessions, define data logic and metrics, prioritize requests, enable scalable reporting solutions, support delivery and UAT, mentor junior analysts, and improve intake processes to reduce one-off requests and promote reusable, self-service reporting.

Lead architecture and implementation of a large-scale analytics stack: design foundational pipelines, establish modeling/orchestration standards, integrate AI-assisted engineering tools, translate business questions into version-controlled data models, partner with stakeholders to define metrics and data contracts, migrate logic into maintainable pipelines, and optimize cloud warehouse performance for scale.

Lead the RevOps analytics function: manage an analytics team, own revenue reporting and forecasting, build measurement frameworks, enforce data governance, partner with BI/engineering, analyze funnel and retention metrics, and embed AI/automation to improve revenue predictability and GTM performance.

As a Business Intelligence and Analytics Engineer, you will develop data tools, ensure data quality, deliver analytical insights, and collaborate with cross-functional teams to empower data-driven decision-making.

The Analytics Manager analyzes complex datasets, builds models, conducts scenario analyses, and provides strategic recommendations to guide decision-making for leadership.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

Lead analytics initiatives at Duomo, managing a team, utilizing data visualization tools, and collaborating closely with the CEO to drive growth.

Lead the Payments Insights Analytics team, utilizing data and AI/ML for strategy execution, operational excellence, and stakeholder communication.

As a Data Analytics Engineer I, you'll bridge engineering and analytics, manage data pipelines, collaborate with stakeholders, and utilize modern open-source tech for data transformation and integration in structured finance.

The Director of Analytics & GTM Systems leads analytics and systems functions, driving data-informed decisions and overseeing teams. They enhance operational efficiency, implement AI solutions, and align strategies with stakeholders, creating impactful business capabilities and fostering decentralized decision-making.